Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

Dates: Last 2 Years

You searched for +publisher:"Rochester Institute of Technology" +contributor:("Abdulla Ismail"). Showing records 1 – 4 of 4 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Rochester Institute of Technology

1. Khallaf, Mohamed. Enhanced MPPT Controllers for Smart Grid Applications.

Degree: MS, Electrical Engineering, 2019, Rochester Institute of Technology

  Over the past years, the energy demand has been steadily growing and so methods of how to cope with this staggering increase are being… (more)

Subjects/Keywords: Fuzzy logic; Incremental conductance; MPPT; P&O; PV; Renewable energy

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khallaf, M. (2019). Enhanced MPPT Controllers for Smart Grid Applications. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10018

Chicago Manual of Style (16th Edition):

Khallaf, Mohamed. “Enhanced MPPT Controllers for Smart Grid Applications.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed January 15, 2021. https://scholarworks.rit.edu/theses/10018.

MLA Handbook (7th Edition):

Khallaf, Mohamed. “Enhanced MPPT Controllers for Smart Grid Applications.” 2019. Web. 15 Jan 2021.

Vancouver:

Khallaf M. Enhanced MPPT Controllers for Smart Grid Applications. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Jan 15]. Available from: https://scholarworks.rit.edu/theses/10018.

Council of Science Editors:

Khallaf M. Enhanced MPPT Controllers for Smart Grid Applications. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10018


Rochester Institute of Technology

2. AlMarri, Salem Bin Saqer. Real-Time Facial Emotion Recognition Using Fast R-CNN.

Degree: MS, Electrical Engineering, 2019, Rochester Institute of Technology

  In computer vision and image processing, object detection algorithms are used to detect semantic objects of certain classes of images and videos. Object detector… (more)

Subjects/Keywords: Artificial intelligence; Convolutional neural network; Facial emotion recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

AlMarri, S. B. S. (2019). Real-Time Facial Emotion Recognition Using Fast R-CNN. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10214

Chicago Manual of Style (16th Edition):

AlMarri, Salem Bin Saqer. “Real-Time Facial Emotion Recognition Using Fast R-CNN.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed January 15, 2021. https://scholarworks.rit.edu/theses/10214.

MLA Handbook (7th Edition):

AlMarri, Salem Bin Saqer. “Real-Time Facial Emotion Recognition Using Fast R-CNN.” 2019. Web. 15 Jan 2021.

Vancouver:

AlMarri SBS. Real-Time Facial Emotion Recognition Using Fast R-CNN. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Jan 15]. Available from: https://scholarworks.rit.edu/theses/10214.

Council of Science Editors:

AlMarri SBS. Real-Time Facial Emotion Recognition Using Fast R-CNN. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10214


Rochester Institute of Technology

3. Al-Zabin, Omar. Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers.

Degree: MS, Electrical Engineering, 2019, Rochester Institute of Technology

  Due to the rising demand for electricity with increasing world population, maximizing renewable energy capture through efficient control systems is gaining attention in literature.… (more)

Subjects/Keywords: DFIG-based wind turbine; Fuzzy PI controllers; Rotor current control

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Al-Zabin, O. (2019). Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10325

Chicago Manual of Style (16th Edition):

Al-Zabin, Omar. “Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed January 15, 2021. https://scholarworks.rit.edu/theses/10325.

MLA Handbook (7th Edition):

Al-Zabin, Omar. “Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers.” 2019. Web. 15 Jan 2021.

Vancouver:

Al-Zabin O. Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Jan 15]. Available from: https://scholarworks.rit.edu/theses/10325.

Council of Science Editors:

Al-Zabin O. Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10325

4. Hamadi, Amer Mahdy. Autonomous Quadrotor Control Using Convolutional Neural Networks.

Degree: MS, Electrical Engineering, 2019, Rochester Institute of Technology

  Quadrotors are considered nowadays one of the fastest growing technologies. It is entering all fields of life making them a powerful tool to serve… (more)

Subjects/Keywords: None provided

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hamadi, A. M. (2019). Autonomous Quadrotor Control Using Convolutional Neural Networks. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9995

Chicago Manual of Style (16th Edition):

Hamadi, Amer Mahdy. “Autonomous Quadrotor Control Using Convolutional Neural Networks.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed January 15, 2021. https://scholarworks.rit.edu/theses/9995.

MLA Handbook (7th Edition):

Hamadi, Amer Mahdy. “Autonomous Quadrotor Control Using Convolutional Neural Networks.” 2019. Web. 15 Jan 2021.

Vancouver:

Hamadi AM. Autonomous Quadrotor Control Using Convolutional Neural Networks. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Jan 15]. Available from: https://scholarworks.rit.edu/theses/9995.

Council of Science Editors:

Hamadi AM. Autonomous Quadrotor Control Using Convolutional Neural Networks. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/9995

.